Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics by Yuzhen Wei, Siyi Yao, Feiyue Wu, Qiangguo Yu

“…To improve the imaging performance, two spectral pretreatment methods (wavelet transform, standard normal variable transformation and detrend), three feature selection methods (successive projection algorithm, genetic algorithm, and shuffled frog leaping algorithm), and four regression modeling methods (principal components regression, partial least squares regression, least square-support vector regression, convolutional neural network) were employed and compared. …”
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Elastic Optimization for Stragglers in Edge Federated Learning by Khadija Sultana, Khandakar Ahmed, Bruce Gu, Hua Wang

“…We customize a benchmark algorithm, FedAvg, to obtain a new elastic optimization algorithm (FedEN) which is applied in local training of edge devices. …”
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Classification of patients with lithium-treated bipolar disorder based on gene expression: Dirichlet Bayesian network model by Nader Salari, Sahar Souri Pilangorgi, Afshin Almasi, Soodeh Shahsavari, Andrew J. Fournier

“…R 3.6.2 was used for analysis. Results Partial least squares regression identified 10,788 essential genes, and the plaid algorithm revealed nine homogeneous biclusters. …”
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Alternating Direction Implicit Method for Solving Heat Diffusion Problems by Awni M. Gaftan, Mizal H. AlObaidi, Hiba S.Sultan

“… The objective of this paper to find the solution of fractional partial differential equations using numerical methods to solve heat diffusion problems and this method is the implicit alternating direction method ADI with discussion of its algorithm and by this method it is possible to solve heat diffusion problems in a shorter time as well as obtain more accurate results compared to other numerical methods …”
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A SOLUTION TO SYSTEM ACCESS PROBLEM BASED ON CONVOLUTIONAL NEURAL NETWORK APPROACH by N. A. Iskra

“…The algorithm based on the principal components of the images as informative features extracting and convolutional neural network as a classifier is proposed. …”
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Determination of circular membrane parameters from its resonance frequencies by Mariusz ZIÓŁKO

“…The assignment of the coefficient of partial differential equation is presented for this second case. …”
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Effective Analytical Computational Technique for Conformable Time-Fractional Nonlinear Gardner Equation and Cahn-Hilliard Equations of Fourth and Sixth Order Emerging in Dispersive... by Mohammed Al-Smadi, Shrideh Al-Omari, Yeliz Karaca, Shaher Momani

“…From a numerical viewpoint, the simulations and results declare that the proposed iterative algorithm is indeed straightforward and appropriate with efficiency for long-wavelength solutions of nonlinear partial differential equations.…”
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SOFT TISSUE RECONSTRUCTION IN PATIENTS WITH SEVERE OPEN TIBIA FRACTURES by E. Y. Shibaev, P. A. Ivanov, A. P. Vlasov, D. A. Kisel, M. P. Lasarev, A. V. Nevedrov, L. L. Tsoglin

“…Surgery tactic depends on the patient’s condition, trauma mechanism, soft tissue defects size and localization. The algorithm of early soft tissue reconstruction was used for patients with severe open tibia fractures decreases duration of hospital treatment, rate of deep wound infection and partial necrosis of tibia bone.…”
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Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques by Elliot K. Anyidoho, Ernest Teye, Robert Agbemafle

“…Second derivative algorithm was found to be the best preprocessing tool. …”
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The Chaotic Prediction for Aero-Engine Performance Parameters Based on Nonlinear PLS Regression by Chunxiao Zhang, Junjie Yue

“…At the same time, the forecast error is less than that of nonlinear PLS algorithm through bootstrap test screening.…”
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APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS by N. A. Iskra

“…The experimental results were compared with similar results obtained by means of the algorithm based on neural networks algorithm on the same dataset by other researchers, as well as by the author of this paper earlier. …”
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Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

“…The Hessian matrix conveys important information about the curvature, spectrum and partial derivatives of a function, and is required in a variety of tasks. …”
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Fractional-Order Adaptive P-Laplace Equation-Based Art Image Edge Detection by Ming Chen

“…The adaption is mainly reflected in the model algorithm by constructing an exponential parameter relation that is closely related to the image, which can dynamically adjust the parameter values, thus making the model algorithm more practical. …”
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Pell Collocation Pseudo Spectral Scheme for One-Dimensional Time-Fractional Convection Equation with Error Analysis by A. S. Mohamed

“…The operational matrices of Pell polynomials are applied to solve the fractional partial differential equations. In the Caputo sense, we describe the time-fractional derivatives. …”
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Definition of Optimal Structure of Power Network by Kimstach O.Yu.

“…This factor conventionally represents the level of duplication of power supply in terms of free power and transmission capacity of the power lines. The algorithm for determining the values of partial criteria was considered. …”
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A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks. by Inés P Mariño, Alexey Zaikin, Joaquín Míguez

“…Specifically, we compare three Monte Carlo based numerical methods for the approximation of the posterior probability density function of the unknown parameters given a set of partial and noisy observations of the system. The schemes we assess are the particle Metropolis-Hastings (PMH) algorithm, the nonlinear population Monte Carlo (NPMC) method and the approximate Bayesian computation sequential Monte Carlo (ABC-SMC) scheme. …”
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Vision-Based Deep Reinforcement Learning of Unmanned Aerial Vehicle (UAV) Autonomous Navigation Using Privileged Information by Junqiao Wang, Zhongliang Yu, Dong Zhou, Jiaqi Shi, Runran Deng

“…In this paper, we propose the DPRL (Distributed Privileged Reinforcement Learning) navigation algorithm, an end-to-end policy designed to address the challenge of high-speed autonomous UAV navigation under partially observable environmental conditions. …”
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Treelike process tensor contraction for automated compression of environments by Moritz Cygorek, Brendon W. Lovett, Jonathan Keeling, Erik M. Gauger

“…The algorithm “automated compression of environments” (ACE) [M. …”
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Awareness of Unethical Artificial Intelligence and its Mitigation Measures by Sonja HÖLLER, Thomas DILGER, Teresa SPIESS, Christian PLODER, Reinhard BERNSTEINER

“… The infrastructure of the Internet is based on algorithms that enable the use of search engines, social networks, and much more. …”
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Computation offloading scheme for RIS-empowered UAV edge network by Bin LI, Wenshuai LIU, Wancheng XIE, Zesong FEI

“…In order to address the challenge of low offloading rate caused by the obstacles blocking in the links between unmanned aerial vehicle (UAV) and ground users (GU) in urban scene, a partial task offloading scheme for UAV-enabled mobile edge computing with the aid of reconfigurable intelligence surface was proposed.A nonconvex and multivariable coupling stochastic optimization problem was formulated by the joint design of the computation task allocation, the transmit power of GU, the phase shift of RIS, UAV computation resource, and UAV trajectory, aiming at maximizing the minimum average data throughput of GU.By leveraging the properties of mathematical expectation, the stochastic optimization problem was transformed into a deterministic optimization problem.Then, the deterministic optimization problem was decomposed into three subproblems by using the block coordinate descent (BCD) algorithm.By introducing auxiliary variables, the nonconvex problems were transformed into convex optimization problems via the successive convex approximation and semidefinite relaxation, and then the approximate suboptimal solution of the original problem was obtained.The simulation results show that the proposed algorithm has good convergence performance and effectively improves the average data throughput of GU.…”
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